from cachetools import TTLCache 
import time

cache = TTLCache(maxsize=10, ttl=10)

cache['city'] = 'Toronto'

print(cache['city'])

Toronto

time.sleep(5)

if('city' in cache):
    print(cache['city'])
else:
    print('Cache not found')

Toronto

time.sleep …

import nltk
from nltk.probability import FreqDist, DictionaryProbDist, ELEProbDist

pos_tweets = [('I love this car', 'positive'),
              ('This view is amazing', 'positive'),
              ('I feel great this morning', 'positive'),
              ('I am so excited about the concert', 'positive'),
              ('He is …

!python --version

Python 3.10.5

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

# Load the dataset
tips = sns.load_dataset("tips")

# Create a PairGrid with regression and histogram plots
g = sns.PairGrid(tips, diag_sharey=False, hue="sex", palette="Set2")
g.map_upper(sns.scatterplot, alpha=0 …

import numpy as np
import matplotlib.pyplot as plt

N = 5
menMeans = (20, 35, 30, 35, 27)
menStd = (2, 3, 4, 1, 2)

ind = np.arange(N)  # the x locations for the groups
width = 0.35       # the width of the bars

fig, ax = plt.subplots()
rects1 = ax.bar(ind, menMeans …

import numpy as np
import matplotlib.pyplot as plt


menMeans = (154, 138, 161, 181, 151, 162, 156, 188, 145, 153, 124, 144);
N = len(menMeans);


print(type(menMeans));

ind = np.arange(N)  # the x locations for the groups
width = 0.35       # the width of the bars

fig, ax = plt.subplots …

from bs4 import UnicodeDammit

print("inside main method")

dammit = UnicodeDammit(b"Sacr\xc3\xa9 bleu!")

inside main method

print(type(dammit))

<class 'bs4.dammit.UnicodeDammit'>

print(dammit.unicode_markup)

Sacré bleu!

print(type(dammit.unicode_markup))

<class 'str'>

print(dammit …

import numpy as np
import pandas as pd

df = pd.read_csv('score.csv')

---------------------------------------------------------------------------

UnicodeDecodeError                        Traceback (most recent call last)

<ipython-input-2-aee192733216> in <module>()
----> 1 df = pd.read_csv('score.csv')


~/anaconda3/envs/py36/lib/python3 …

!pip install smtplib

ERROR: Could not find a version that satisfies the requirement smtplib (from versions: none)
ERROR: No matching distribution found for smtplib


fromaddr = 'fromuser@gmail.com'
toaddrs  = 'touser@gmail.com'

# Writing the message (this …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.Variable(0, name = 'counter')

b = tf.add(a, tf.constant(2))

# update a with …

city = input("Enter your city : ")

Enter your city : Toronto

city

'Toronto'